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Algorithm Efficiency, A Side-By-Side Comparison

Author

Listed:
  • Radu-Mihail CIUPERCA

    (BearingPoint, Romania)

  • Vlad-Andrei MIHAI

    (StarByte, Romania)

  • Daniela Alexandra CRISAN

    (Romanian-American University, Romania)

Abstract

This study presents a comparative analysis of the efficiency of classic sorting algorithms, including Merge Sort, Quick Sort, Heap Sort, Bubble Sort, Selection Sort, Counting Sort and the enigmatic Bogo Sort. Through a series of rigorous tests on arrays of varying sizes, we measured the time complexities of each algorithm and examined their performance characteristics. Our findings reveal distinctive patterns in the behavior of these algorithms, highlighting their relative strengths and limitations in handling different data structures. By evaluating factors such as time complexity, stability, and adaptability, we provide insights that aid in the informed selection of sorting methodologies for diverse computational challenges. This study contributes to a nuanced understanding of algorithmic efficiency and provides valuable guidance for practical implementation in real-world applications.

Suggested Citation

  • Radu-Mihail CIUPERCA & Vlad-Andrei MIHAI & Daniela Alexandra CRISAN, 2023. "Algorithm Efficiency, A Side-By-Side Comparison," Journal of Information Systems & Operations Management, Romanian-American University, vol. 17(2), pages 77-94, December.
    • Handle: RePEc:rau:jisomg:v:17:y:2023:i:2:p:77-94
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI23/JISOM-WI23-A05.pdf
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    References listed on IDEAS

    as
    1. Daniela Alexandra CRIȘAN & Gabriel Florian SIMION & Patrick Eugen MORARU, 2015. "Run-Time Analysis For Sorting Algorithms," Journal of Information Systems & Operations Management, Romanian-American University, vol. 9(1), pages 147-156, May.
    2. repec:rau:journl:v:9:y:2015:i:1:p:147-156 is not listed on IDEAS
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